IIIT Hyderabad Publications |
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Near Real-time Face ParsingAuthors: Digvijay Singh,Ayush Minosha,Nataraj Jammalamadaka, C V Jawahar Conference: NCVPRIPG 2013 Date: 2013-12-18 Report no: IIIT/TR/2013/103 AbstractCommercial applications like driver assistance pro- grams in cars, smile detection softwares in cameras typically require reliable facial landmark points like the location of eyes, lips etc . and face pose at near real-time. Current methods are often unreliable, very cumbersome or computationally intensive. In this work, we focus on implementing a reliable and real-time method which parses an image and detects faces, estimates their pose and locates landmark points on the face. Our method builds on the existing literature. The method can work both for images and videos. Full paper: pdf Centre for Visual Information Technology |
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